Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Paradigms
Artificial Intelligence
›
Learning Paradigms
›
Few-Shot Learning
2558 directly classified papers
Papers per year
2002: 1
2009: 1
2012: 1
2013: 6
2014: 2
2015: 3
2016: 6
2017: 19
2018: 48
2019: 127
2020: 167
2021: 323
2022: 394
2023: 448
2024: 528
2025: 401
2026: 83
Papers
Can Yes-No Question-Answering Models be Useful for Few-Shot Metaphor Detection?
EMNLP 2022
Exploring Euphemism Detection in Few-Shot and Zero-Shot Settings
EMNLP 2022
Multilingual Social Media Text Generation and Evaluation with Few-Shot Prompting
EMNLP 2022
Towards Few-Shot Identification of Morality Frames using In-Context Learning
EMNLP 2022
KU X Upstage’s Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task
EMNLP 2022
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
EMNLP 2022
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
EMNLP 2022
Natural Language to Code Translation with Execution
EMNLP 2022
On Measuring the Intrinsic Few-Shot Hardness of Datasets
EMNLP 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
EMNLP 2022
Better Few-Shot Relation Extraction with Label Prompt Dropout
EMNLP 2022
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering
EMNLP 2022
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection
EMNLP 2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
EMNLP 2022
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition
EMNLP 2022
HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold
EMNLP 2022
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
EMNLP 2022
TAPE: Assessing Few-shot Russian Language Understanding
EMNLP 2022
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts
EMNLP 2022
Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning
EMNLP 2022
SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation
EMNLP 2022
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
EMNLP 2022
Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding
EMNLP 2022
Weakly Supervised Context-based Interview Question Generation
EMNLP 2022
Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect
EMNLP 2022
<
1
…
69
70
71
…
103
>